More and more concrete applications increase benefit of digital twin
The vision of Industry 4.0 is closely linked to the digital twin. However, since the degree of standardisation of the individual development tools is currently still low, there are still considerable gaps in the consistency, says Lenze. "In the field of simulation, some of these can now be closed. As a result, digital engineering already offers significant efficiency gains today."
The digital transformation of the economy does not stop at the development departments of mechanical engineering. CAD (Computer-aided design), CAE (Computer-aided engineering) and CAM (Computer-aided manufacturing) are increasingly being enhanced by smart tools that automate processes, reduce the use of time and resources, and continuously control and improve the quality of development steps. More efficient processes and an improved time-to-market are essential factors, in order to be able to hold one's own in the increasingly fierce global competition.
With the Digital Twin or Asset Administration Shell (AAS), the industry has designed a concept that decisively drives this development. The goal is an uninterrupted flow of information over the entire lifecycle of machines and plants: from data models used in the early development phase, to machine data from the production phase, to asset management, maintenance and repair.
Paths to digital simulation
“In reality, however, there are still gaps, because there is a low degree of standardisation of development tools,” comments Lenze. “On the developer side, there is a continuing uncertainty as to whether the supplier of components and devices supports the respective development tools with suitable data formats.”
Very early on, Lenze accompanied and promoted digitisation in mechanical engineering and the concept of the management shell. Now the company is going one step further, it states, and extending its support for partners to simulation and virtual commissioning. “OEMs will benefit from expanded digital engineering capabilities in the design, development, and production of machines and plants, because this is where Lenze has closed some critical gaps.”
The decisive cornerstone is already laid by a 3D simulation model, which provides a relatively general model of a machine. “This results in simpler diagnostics of complex machines. If one goes a step further and refines the 3D model, concrete statements about the behaviour of the machine can already be predicted, such as the throughput to be achieved during operation. If the model is adapted to the specific machine in even greater detail, it can be used to simulate not only the mechanical behaviour, but also the entire manufacturing process on the machine: ie, including the logic of the machine, error management, change of operating modes and parameterisation. At this stage of development, even virtual commissioning of the machine is possible.”
Defuse pain points of OEMs
Lenze itself uses some of the best-known simulation tools, in particular the following applications:
In each case, the ultimate goal is to solve the critical issues at this stage of the lifecycle: “Experience shows that the requirements of machine builders include topics such as better diagnostics, shorter development times or more precise planning when dimensioning drives,” adds Lenze.
“Machine builders can use these applications for themselves, relying on solutions from Lenze. The manufacturer advises on the selection of suitable tools and can provide support in modelling simulations and virtual commissioning, so that these can be run directly at the customer's site. The first have already been implemented and Lenze has also prepared a corresponding showcase that demonstrates the procedure and the extended possibilities of digital engineering through simulation and virtual commissioning.”
While different data models are still required for the various applications today, standardised formats and interfaces are to be used in the future. Corresponding concepts have already been developed under the name FMU (Functional Mock-up Units) or FMI (Functional Mock-up Interfaces). Lenze supports the common tools available on the market and is also continuously developing its toolchain for digital engineering.
“Whether better diagnostics, shorter development times or more precise planning when dimensioning drives: simulation in digital engineering and parallel engineering allow machine concepts to be implemented efficiently and quickly and, above all, avoid cost-intensive rework. This is made possible by interdisciplinary development, in which control and IoT software in particular can be tested and validated on a virtual machine in the early concept and development phases.”